New preprint: Including minor alleles improves fluoroquinolone resistance prediction Philip Fowler, 10th November 202217th November 2022 Fluoroquinolones are used to treat both normal and drug resistant tuberculosis and therefore being able to work out if an infection is resistant or not to fluoroquinolones is very important. Sequencing the genome of an infection is increasingly used to rapidly return which antibiotics could be used to treat a patient with tuberculosis. Genetics-based approaches usually assume that any infection is homogenous which allows the variant caller to assume that any evidence of a minor alleles are due to sequencing error, allowing these to be filtered out. The WHO catalogue of mutations conferring resistance to M. tuberculosis was published in 2021 and includes several mutations in the gyrA gene that confer resistance to both moxifloxacin and levofloxacin. Despite the molecular mechanism being thought to be understood the sensitivity of genetics-based resistance prediction was lower for the fluoroquinolones than rifampicin and isoniazid. In this preprint Alice Brankin uses the large CRyPTIC dataset of M. tuberculosis to show that if two or more reads at a genome position support the existence of a known resistance-conferring mutation in gyrA, then calling that sample resistant improves the sensitivity of moxifloxacin resistance prediction from 85.4% to 94.0%, bringing it into line with rifamipcin and isoniazid. Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Related antimicrobial resistance clinical microbiology publication research tuberculosis
antimicrobial resistance GARC: A Grammar for Antimicrobial Resistance Catalogues 25th November 201817th November 2020 During the CRyPTIC project it has become obvious that we need a grammar to describe… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New publication: Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of M. tuberculosis 26th October 2018 In this Microbiology paper we show how a Python package, called the Automated Mycobacterial Detection Growth… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New paper: automatically and reproducibly building a catalogue bedaquline resistance-associated variants 18th June 20251st July 2025 Dylan Adlard‘s paper describing how we can rapidly automatically build catalogues of bedaquiline resistance-associated variants… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More